The effect of entity recognition on answer validation

  • Authors:
  • Álvaro Rodrigo;Anselmo Peñas;Jesús Herrera;Felisa Verdejo

  • Affiliations:
  • Departamento de Lenguajes y Sistemas Informáticos, Universidad Nacional de Educación a Distancia, Madrid, Spain;Departamento de Lenguajes y Sistemas Informáticos, Universidad Nacional de Educación a Distancia, Madrid, Spain;Departamento de Lenguajes y Sistemas Informáticos, Universidad Nacional de Educación a Distancia, Madrid, Spain;Departamento de Lenguajes y Sistemas Informáticos, Universidad Nacional de Educación a Distancia, Madrid, Spain

  • Venue:
  • CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
  • Year:
  • 2006

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Abstract

The Answer Validation Exercise (AVE) 2006 is aimed at evaluating systems able to decide whether the responses of a Question Answering (QA) system are correct or not. Since most of the questions and answers contain entities, the use of a textual entailment relation between entities is studied here for the task of Answer Validation. We present some experiments concluding that the entity entailment relation is a feature that improves a SVM based classifier close to the best result in AVE 2006.